Open Korean Corpora: A Practical Report

Won Ik Cho, Sangwhan Moon, Youngsook Song


Abstract
Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Korean corpora, first describing institution-level resource development, then further iterate through a list of current open datasets for different types of tasks. We then propose a direction on how open-source dataset construction and releases should be done for less-resourced languages to promote research.
Anthology ID:
2020.nlposs-1.12
Volume:
Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
Month:
November
Year:
2020
Address:
Online
Editors:
Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs, Nelson F. Liu, Geeticka Chauhan, Liling Tan
Venue:
NLPOSS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
85–93
Language:
URL:
https://aclanthology.org/2020.nlposs-1.12
DOI:
10.18653/v1/2020.nlposs-1.12
Bibkey:
Cite (ACL):
Won Ik Cho, Sangwhan Moon, and Youngsook Song. 2020. Open Korean Corpora: A Practical Report. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 85–93, Online. Association for Computational Linguistics.
Cite (Informal):
Open Korean Corpora: A Practical Report (Cho et al., NLPOSS 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.nlposs-1.12.pdf
Video:
 https://slideslive.com/38939751
Data
ClovaCallGLUEKLUEKobestMultiCoNERNatural Questions